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US10430282B2 - Optimizing replication by distinguishing user and system write activity - Google Patents

Optimizing replication by distinguishing user and system write activity
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US10430282B2
US10430282B2US14/508,698US201414508698AUS10430282B2US 10430282 B2US10430282 B2US 10430282B2US 201414508698 AUS201414508698 AUS 201414508698AUS 10430282 B2US10430282 B2US 10430282B2
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data
medium
logical grouping
write activity
sequence number
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Christopher Golden
Malcolm Sharpe
Steve Hodgson
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Pure Storage Inc
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Abstract

Systems, methods, and computer readable storage mediums for maintaining the history of remapped data in a storage system. A first portion of a first medium may be remapped to a second medium as part of read optimization operations, wherein the second medium is younger than the first medium. A tag associated with the first portion of the first medium may be retained when the first portion is remapped to the second medium. When the second medium is replicated to another storage array, the first portion of the first medium may be prevented from being replicated based on the tag identifying the first portion as being part of a previous replication operation.

Description

BACKGROUND
Technical Field
Embodiments described herein relate to storage systems, and more particularly, to techniques for optimizing replication in a storage system.
Description of the Related Art
Various applications executing on a computer system may store and access data stored on one or more storage devices of a storage system. As the data is modified over time, the storage system needs to keep track of the changes, update mappings, and free up storage locations corresponding to deleted data so that these storage locations can be used for new data.
Accordingly, a typical storage system may execute garbage collection and/or read optimization processes to reduce the complexity of the mappings and data stored on the storage system. These processes tend to mimic user activity, and as these processes move data and create new mappings, original metadata associated with the data may be deleted. As a result, old data that was relocated for the purposes of garbage collection or read optimization may look like new data from the storage system's perspective. Accordingly, relocated data may be sent to another storage system during replication even if this data already exists on the other storage system. Therefore, techniques for tracking relocated data and performing more efficient replication are desired.
SUMMARY
Various embodiments of systems and methods for tracking relocated data and performing more efficient replication in a storage system are contemplated.
In one embodiment, a storage system may include one or more storage arrays, with each storage array including a storage controller and one or more storage devices. In one embodiment, the storage controller may utilize volumes and mediums to track stored client data. A medium may be defined as a logical grouping of data. In various embodiments, each volume may be mapped to a single anchor medium, and the anchor medium for a given volume may be mapped to any number of levels of underlying mediums in a medium hierarchy of the given volume.
During operation of a storage system, data that already exists in a medium hierarchy of a given volume may be relocated to another portion higher up in the medium hierarchy of the given volume. In one embodiment, this relocation may be the result of read optimization operations. The storage controller may be configured to differentiate between system activity that mimics user writes, such as relocation of data, and actual user writes. In one embodiment, the storage controller may achieve this differentiation by maintaining a tag for each write operation to identify when the write operation was performed and/or which entity is the owner of this write operation. In various embodiments, the tag may be a sequence number, timestamp, original medium ID, transaction ID, snapshot ID, or other identifier. When a portion of data is relocated due to a read optimization operation, the storage controller may retain the one or more tags which are associated with this portion of data. The storage controller may also be configured to maintain a medium history table which records the history of each of a plurality of medium hierarchies rather than the evolution of the medium hierarchies. The medium history table in combination with the tags may allow the storage controller to perform replication without copying previously replicated data.
In one embodiment, the tag may be a sequence number, and the storage controller may store a sequence number for each mapping table entry corresponding to a portion of a medium. In one embodiment, the sequence number may be a monotonically increasing number which is assigned to each write operation. When data is relocated as part of read optimization operations, the mapping table entries of the data may be reassigned to a new medium higher up in the medium hierarchy. However, these mapping table entries may retain their sequence number to identify when the data was originally written.
In one embodiment, when a new medium is allocated in the storage system, the storage controller may record the highest sequence number in existence at the moment when the new medium was allocated. This highest sequence number may then be stored with the new medium in the medium history table. When a request to replicate the new medium is generated, the storage controller may only replicate data of the new medium which corresponds to mapping table entries with sequence numbers higher than the sequence number stored for the new medium in the medium history table. The storage controller may prevent data from being replicated if the data corresponds to mapping table entries with sequence numbers less than or equal to the new medium's stored sequence number. In this way, the storage controller may replicate only the new data of the new medium and prevent old data that has been relocated into the new medium from being replicated.
These and other embodiments will become apparent upon consideration of the following description and accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a generalized block diagram illustrating one embodiment of a storage system.
FIG. 2 is a logical block diagram illustrating a volume being replicated from a first array to a second array.
FIG. 3 is a logical block diagram illustrating a volume and corresponding mapping table entries.
FIG. 4 illustrates a logical block diagram of one embodiment of a volume and corresponding mappings.
FIG. 5 is a logical block diagram of one embodiment of a volume after read optimization has been performed.
FIG. 6 is a logical block diagram of one embodiment of a replication operation.
FIG. 7 is a generalized flow diagram illustrating one embodiment of a method for creating a new medium and remapping data.
FIG. 8 is a generalized flow diagram illustrating one embodiment of a method for replicating a dataset.
FIG. 9 is a generalized flow diagram illustrating one embodiment of a method for remapping a portion of a medium.
While the methods and mechanisms described herein are susceptible to various modifications and alternative forms, specific embodiments are shown by way of example in the drawings and are herein described in detail. It should be understood, however, that drawings and detailed description thereto are not intended to limit the methods and mechanisms to the particular form disclosed, but on the contrary, are intended to cover all modifications, equivalents and alternatives apparent to those skilled in the art once the disclosure is fully appreciated.
DETAILED DESCRIPTION
In the following description, numerous specific details are set forth to provide a thorough understanding of the methods and mechanisms presented herein. However, one having ordinary skill in the art should recognize that the various embodiments may be practiced without these specific details. In some instances, well-known structures, components, signals, computer program instructions, and techniques have not been shown in detail to avoid obscuring the approaches described herein. It will be appreciated that for simplicity and clarity of illustration, elements shown in the figures have not necessarily been drawn to scale. For example, the dimensions of some of the elements may be exaggerated relative to other elements.
This specification includes references to “one embodiment”. The appearance of the phrase “in one embodiment” in different contexts does not necessarily refer to the same embodiment. Particular features, structures, or characteristics may be combined in any suitable manner consistent with this disclosure. Furthermore, as used throughout this application, the word “may” is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including, but not limited to.
Terminology. The following paragraphs provide definitions and/or context for terms found in this disclosure (including the appended claims):
“Comprising.” This term is open-ended. As used in the appended claims, this term does not foreclose additional structure or steps. Consider a claim that recites: “A system comprising a storage controller . . . ” Such a claim does not foreclose the system from including additional components (e.g., a network, a server, a display device).
“Configured To.” Various units, circuits, or other components may be described or claimed as “configured to” perform a task or tasks. In such contexts, “configured to” is used to connote structure by indicating that the units/circuits/components include structure (e.g., circuitry) that performs the task or tasks during operation. As such, the unit/circuit/component can be said to be configured to perform the task even when the specified unit/circuit/component is not currently operational (e.g., is not on). The units/circuits/components used with the “configured to” language include hardware—for example, circuits, memory storing program instructions executable to implement the operation, etc. Reciting that a unit/circuit/component is “configured to” perform one or more tasks is expressly intended not to invoke 35 U.S.C. § 112, paragraph (f), for that unit/circuit/component. Additionally, “configured to” can include generic structure (e.g., generic circuitry) that is manipulated by software and/or firmware (e.g., an FPGA or a general-purpose processor executing software) to operate in a manner that is capable of performing the task(s) at issue. “Configured to” may also include adapting a manufacturing process (e.g., a semiconductor fabrication facility) to fabricate devices (e.g., integrated circuits) that are adapted to implement or perform one or more tasks.
“Based On.” As used herein, this term is used to describe one or more factors that affect a determination. This term does not foreclose additional factors that may affect a determination. That is, a determination may be solely based on those factors or based, at least in part, on those factors. Consider the phrase “determine A based on B.” While B may be a factor that affects the determination of A, such a phrase does not foreclose the determination of A from also being based on C. In other instances, A may be determined based solely on B.
Referring now toFIG. 1, a generalized block diagram of one embodiment of astorage system100 is shown.Storage system100 may includeoriginal storage array105,replica storage array160, andsource storage array170.Original storage array105 may includestorage controller110 andstorage device groups130 and140, which are representative of any number of storage device groups. Although not shown inFIG. 1,replica storage array160 andsource storage array170 may also include one or more storage controllers and one or more storage device groups. It is noted thatstorage arrays105,160, and170 may also be referred to as storage subsystems or storage systems.
As shown,storage device group130 includesstorage devices135A-N, which are representative of any number and type of storage devices (e.g., solid-state drives (SSDs)).Storage controller110 may be coupled directly toclient computer system125, andstorage controller110 may be coupled remotely overnetwork120 toclient computer system115.Clients115 and125 are representative of any number of clients which may utilizestorage controller110 for storing and accessing data insystem100. It is noted that some systems may include only a single client, connected directly or remotely tostorage controller110. It is also noted thatoriginal storage array105 may include more than one storage controller in some embodiments.
Storage controller110 may include software and/or hardware configured to provide access tostorage devices135A-N. Althoughstorage controller110 is shown as being separate fromstorage device groups130 and140, in some embodiments,storage controller110 may be located within one or each ofstorage device groups130 and140.
Storage controller110 may include or be coupled to a base operating system (OS), a volume manager, and additional control logic for implementing the various techniques disclosed herein.
Storage controller110 may include and/or execute on any number of processors and may include and/or execute on a single host computing device or be spread across multiple host computing devices, depending on the embodiment. In some embodiments,storage controller110 may generally include or execute on one or more file servers and/or block servers.Storage controller110 may use any of various techniques for replicating data acrossdevices135A-N to prevent loss of data due to the failure of a device or the failure of storage locations within a device.Storage controller110 may also utilize any of various deduplication techniques for reducing the amount of data stored indevices135A-N.
Storage controller110 may be configured to create and manage mediums insystem100. Accordingly, a set of mediums may be recorded and maintained bystorage controller110. The term “medium” as is used herein is defined as a logical grouping of data. A medium may have a corresponding identifier with which to identify the logical grouping of data. Each medium may also include or be associated with mappings of logical block numbers to content location, deduplication entries, and other information. In one embodiment, medium identifiers may be used by the storage controller but medium identifiers may not be user-visible. A user (or client) may send a data request accompanied by a volume ID to specify which data is targeted by the request, and the storage controller may map the volume ID to a medium ID and then use the medium ID when processing the request.
A medium may be virtual such that it is identified by a unique ID, and all blocks stored to a volume while the corresponding medium is open for writing may be recorded as <medium, block number>. Each medium logically comprises all of the blocks in the medium. However, only the blocks that were written to the medium from the time the medium was created to the time the medium was closed are recorded and mappings to these blocks may also be maintained with the medium.
The term “medium” is not to be confused with the terms “storage medium” or “computer readable storage medium”. A storage medium is defined as an actual physical device (e.g., SSD, HDD) that is utilized to store data. A computer readable storage medium (or non-transitory computer readable storage medium) is defined as a physical storage medium configured to store program instructions which are executable by a processor or other hardware device. Various types of program instructions that implement the methods and/or mechanisms described herein may be conveyed or stored on a computer readable medium. Numerous types of media which are configured to store program instructions are available and include hard disks, floppy disks, CD-ROM, DVD, flash memory, Programmable ROMs (PROM), random access memory (RAM), and various other forms of volatile or non-volatile storage.
In various embodiments, multiple mapping tables may be maintained bystorage controller110. These mapping tables may include a medium mapping table, a volume-to-medium mapping table, a medium history table, an address translation table, a deduplication table, an overlay table, and/or other tables. In some embodiments, the information stored in two or more of these tables may be combined into a single table. The medium mapping table may be utilized to record and maintain the mappings between mediums and underlying mediums and the volume-to-medium mapping table may be utilized to record and maintain the mappings between volumes and anchor mediums. In one embodiment, a volume may be mapped to an anchor medium which is in a read-write state. The anchor medium may then be mapped to any number of underlying mediums (or portions of mediums) in the medium mapping table. A sector or other portion of a medium may be referred to as “underlying” a volume if the sector or portion of the medium is included within the volume. In other words, a given sector of a medium may “underlie” a volume if the anchor medium of the volume maps to the given sector.
The address translation table may include a plurality of entries, with each entry holding a virtual-to-physical mapping for a corresponding data component. This mapping table may be used to map logical read/write requests from each of theclient computer systems115 and125 to physical locations instorage devices135A-N. A “physical” pointer value may be read from the mappings associated with a given medium or snapshot during a lookup operation corresponding to a received read/write request. This physical pointer value may then be used to locate a physical location within thestorage devices135A-N. It is noted that the physical pointer value may be used to access another mapping table within a given storage device of thestorage devices135A-N. Consequently, one or more levels of indirection may exist between the physical pointer value and a target storage location.
In various embodiments, the address translation table may be accessed using a key comprising a medium or snapshot ID, a logical or virtual address, a sector number, and so forth. A received read/write storage access request may identify a particular volume, sector, and length. The volume ID may be mapped to a medium or snapshot ID using the volume to medium mapping table. A sector may be a logical block of data stored in a medium, with a sector being the smallest size of an atomic I/O request to the storage system. In one embodiment, a sector may have a fixed size (e.g., 512 bytes) and the mapping tables may deal with ranges of sectors. For example, the address translation table may map a medium in sector-size units. The areas being mapped may be managed as ranges of sectors, with each range consisting of one or more consecutive sectors. In one embodiment, a range may be identified by <medium, start sector, length>, and this tuple may be recorded in the address translation table and medium mapping table. In one embodiment, the key value for accessing the address translation table may be the combination of the medium ID and the received sector number. A key is an entity in a mapping table that distinguishes one row of data from another row. In other embodiments, other types of address translation tables may be utilized.
In one embodiment, the address translation table may map mediums and block offsets to physical pointer values. Depending on the embodiment, a physical pointer value may be a physical address or a logical address which the storage device maps to a physical location within the device. In one embodiment, an index may be utilized to access the address translation table. The index may identify locations of mappings within the address translation table. The index may be queried with a key value generated from a medium ID and sector number, and the index may be searched for one or more entries which match, or otherwise correspond to, the key value. Information from a matching entry may then be used to locate and retrieve a mapping which identifies a storage location which is the target of a received read or write request. In one embodiment, a hit in the index provides a corresponding virtual page ID identifying a page within the storage devices of the storage system, with the page storing both the key value and a corresponding physical pointer value. The page may then be searched with the key value to find the physical pointer value.
The deduplication table may include information used to deduplicate data at a fine-grained level. The information stored in the deduplication table may include mappings between one or more calculated hash values for a given data component and a physical pointer to a physical location in one of thestorage devices135A-N holding the given data component. In addition, a length of the given data component and status information for a corresponding entry may be stored in the deduplication table. It is noted that in some embodiments, one or more levels of indirection may exist between the physical pointer value and the corresponding physical storage location. Accordingly, in these embodiments, the physical pointer may be used to access another mapping table within a given storage device of thestorage devices135A-N.
Networks120 and150 may utilize a variety of techniques including wireless connection, direct local area network (LAN) connections, wide area network (WAN) connections such as the Internet, a router, storage area network, Ethernet, and others.Networks120 and150 may further include remote direct memory access (RDMA) hardware and/or software, transmission control protocol/internet protocol (TCP/IP) hardware and/or software, router, repeaters, switches, grids, and/or others. Protocols such as Fibre Channel, Fibre Channel over Ethernet (FCoE), iSCSI, and so forth may be used innetworks120 and150. Thenetworks120 and150 may interface with a set of communications protocols used for the Internet such as the Transmission Control Protocol (TCP) and the Internet Protocol (IP), or TCP/IP.
Client computer systems115 and125 are representative of any number of stationary or mobile computers such as desktop personal computers (PCs), servers, server farms, workstations, laptops, handheld computers, servers, personal digital assistants (PDAs), smart phones, and so forth. Generally speaking,client computer systems115 and125 include one or more processors comprising one or more processor cores. Each processor core includes circuitry for executing instructions according to a predefined general-purpose instruction set. For example, the x86 instruction set architecture may be selected. Alternatively, the ARM®, Alpha®, PowerPC®, SPARC®, or any other general-purpose instruction set architecture may be selected. The processor cores may access cache memory subsystems for data and computer program instructions. The cache subsystems may be coupled to a memory hierarchy comprising random access memory (RAM) and a storage device.
It is noted that in alternative embodiments, the number and type of storage arrays, client computers, storage controllers, networks, storage device groups, and data storage devices is not limited to those shown inFIG. 1. At various times one or more clients may operate offline. In addition, during operation, individual client computer connection types may change as users connect, disconnect, and reconnect tosystem100. Further, the systems and methods described herein may be applied to directly attached storage systems or network attached storage systems and may include a host operating system configured to perform one or more aspects of the described methods. Numerous such alternatives are possible and are contemplated.
Turning now toFIG. 2, a logical block diagram illustrating a volume being replicated from a first array to a second array is shown. It may be assumed for the purposes of this discussion thatvolume200A has been replicated fromoriginal storage array105A toreplica storage array170A.Original storage array105A andreplica storage array170A are intended to representoriginal storage array105 and replica storage array170 (ofFIG. 1), respectively, at a later point in time.
The replicated version ofvolume200A onreplica storage array170A is labeled as “volume200B” so as to differentiate from theoriginal volume200A onoriginal storage array105A. Similarly, the replicated versions ofanchor medium230A and medium225A onreplica storage array170A are labeled as “anchor medium230B” and “medium225B”, respectively, to differentiate from the original versions onoriginal storage array105A.
The depiction ofvolume200A illustrates the mediums which underlievolume200A and the mappings between these mediums. For example,anchor medium230A underliesvolume200A, and any changes tovolume200A may be recorded inanchor medium230A. Each arrow shown involume200A indicates a mapping between anchor medium230A and medium225A, with an arrow indicating that a lookup of a given sector is mapped throughmedium225A rather than throughanchor medium230A. Since an arrow is shown pointing to medium225A for each sector ofanchor medium230A, this indicates that nothing has yet been written to anchor medium230A. Rather, at this point in time, all of the contents ofanchor medium230A are mapped throughmedium225A. It is noted that the size of sectors0-3 may vary depending on the embodiment. It is also noted that in other embodiments, volumes and mediums may have other numbers of sectors besides four.
Althoughvolume200A has only two underlying mediums in its medium hierarchy, it should be understood that other volumes may have additional levels of underlying mediums. For example, in another embodiment, there may be one or more levels of mediums belowmedium225 in the medium hierarchy ofvolume200A. It is noted that the medium hierarchy of a volume refers to all of the mediums which are referenced by the volume and which underlie the volume. The anchor medium of a given volume is at the top of the medium hierarchy, while the oldest medium referenced by the given volume is at the bottom of the medium hierarchy. There may be any number of levels in the medium hierarchy between the anchor medium and the oldest medium, depending on the number of snapshots which have been taken of the corresponding volume.
In one embodiment, medium225A andmedium225B may have the same global content ID but may have separate local IDs onoriginal storage array105A andsource storage array170A. For example, the local ID of medium225A onoriginal storage array105A may map to theglobal content ID225 and the local ID of medium225B onsource storage array170A may also map to theglobal content ID225. In this way, a given storage array may be able to identify which of its mediums are also present on other storage arrays. Similarly,anchor mediums230A and230B may have the same global content ID but may have separate local IDs onoriginal storage array105A andsource storage array170A.
Referring now toFIG. 3, a logical block diagram of one embodiment of a volume and corresponding mapping table entries are shown.Volume200A (ofFIG. 2) is shown again inFIG. 3 along with a portion of the mappings corresponding tovolume200A which may be maintained by the storage controller (not shown) oforiginal storage array105A.
In one embodiment, mapping table300 may include an entry for each sector ofmedium225A, and each entry may include a sequence number. In another embodiment, each sector may not be explicitly associated with a different sequence number. For example, if all of the sectors in a segment are written at about the same time they may be assigned the same sequence number, and only one number may be recorded in mapping table300 rather than giving each sector its own number. In one embodiment, the sequence number may be used to indicate the ordering of writes tooriginal storage array105A. The sequence number may be a monotonically increasing number, and the sequence number may be incremented for each write operation performed tooriginal storage array105A. In some cases, write operations that occur close in time may share the same sequence number. The sequence number may be locally unique or globally unique depending on the embodiment.
In one embodiment, mapping table300 may be an address translation table. It is noted that although mapping table300 is shown as having a separate entry for each sector ofmedium225, in other embodiments, each entry of mapping table300 may correspond to a range of sectors which is an integral number of sectors. It should be understood that the entries of mapping table300 and medium history table305 show only pertinent attributes to avoid cluttering the figure. In other embodiments, mapping table300 and medium history table305 may be organized in a different manner and/or may include other information. It is also noted that any suitable data structure may be used to store the mapping table information of mapping table300 and medium history table305 in order to provide for efficient searches (e.g., b-trees, binary trees, hash tables, etc.). All such data structures are contemplated.
As shown in table300, the entries for sector0-3 ofmedium225A have sequence numbers311-314, respectively. It should be understood that multiple sequence numbers may be used for writes to the same sector, although only a single sequence number is shown for each sector in the entries of table300. This is shown merely for ease of illustration. In other embodiments, table300 may include other types of tags which provide a relative indication as to when the sectors were created and/or were first written to. In these other embodiments, an original medium ID, transaction ID, other identifier, or an actual timestamp may be used as the tag, rather than using the sequence number. In some embodiments, multiple tags may be maintained for each sector and/or for each entry in the mapping tables.
In one embodiment, medium history table305 may include an entry for each medium. In other embodiments, medium history table305 may include entries at other levels of granularity. For example, in another embodiment, medium history table305 may include an entry for each sector, for ‘N’ blocks, wherein ‘N’ is an integer and is programmable, or for each medium range.
As shown inFIG. 3, medium history table305 includes an entry formedium225A and an entry formedium230A. These entries show the medium IDs asnumbers225 and230 without the suffix “A” for ease of illustration. Each entry may include a field for the sequence upper allocation number and a field for the sequence upper replacement number. The sequence upper allocation number indicates the highest sequence number which was used at the time the medium was created. Formedium225A, it may be assumed that the highest sequence number assigned to any range of sectors was310 when medium225A was created. Accordingly,310 is recorded in the sequence upper allocation field for entry ofmedium225A in table305.
It may be assumed for the purposes of this discussion that sequence numbers311-314 were generated by the storage controller for writes to sectors0-3, respectively, ofmedium225A. It may also be assumed thatsequence number314 was the highest sequence number which was used by the storage controller oforiginal storage array105A at the time a snapshot was taken ofmedium225A. Therefore,sequence number314 is recorded as the sequence upper replacement value for the entry formedium225A in table305.
It may be assumed that anchor medium230A was created at the same time the snapshot was taken ofmedium225A, and so sequencenumber314 may be recorded as the sequence upper allocation number formedium230A. At the point in time indicated by the logical depiction ofvolume200A shown inFIG. 3,anchor medium230A is in the read-write state and is able to receive write operations to any of its sectors. Therefore, the sequence upper replacement field of its entry in table305 is unfilled at this point in time, but when a snapshot ofanchor medium230A is taken, the highest sequence number used at that point in time may be entered into the sequence upper replacement field of the corresponding entry in table305.
Turning now toFIG. 4, a logical block diagram of one embodiment of a volume and corresponding mappings are shown.Volume200C is shown inFIG. 4 as being stored onoriginal storage array105B, andvolume200C andoriginal storage array105B are intended to representvolume200B andoriginal storage array105A (ofFIG. 2), respectively, at a later point in time. It may be assumed that since the previous point-in-time representation ofvolume200B, a snapshot was taken ofvolume200C, and after the snapshot was taken, one or more write operations were performed tosector0 ofvolume200C. Therefore, as shown inFIG. 4,volume200C has anew anchor medium405 which points to theprevious medium230C, while medium230C points tomedium225A.Medium230C is intended to representanchor medium230A (ofFIG. 2), at a later point in time.
It may be assumed for the purposes of this discussion that the writeoperations targeting sector0 ofvolume200C were performed after the snapshot ofvolume200B was taken. Therefore, the writeoperations targeting sector0 ofvolume200C have caused the previous mapping ofsector0 of anchor medium405 to no longer be mapped tomedium230C. The last entry of mapping table400 formedium405 corresponds to these write operations, and this entry has asequence number369 assigned to it. The other entries of mapping table400 are the same as the entries of mapping table300 ofFIG. 3.
Similarly, the last entry of medium mapping table410 is assigned tomedium405 and has a sequence upper allocation number of355. This indicates that the highest sequence number in use at the point in time when medium405 was created was355. The other entries of medium mapping table410 are the same as the entries of medium mapping table305 ofFIG. 3.
Referring now toFIG. 5, a logical block diagram of one embodiment of a volume after read optimization has been performed is shown.Original storage array105C andvolume200D are intended to representoriginal storage array105B andvolume200C (ofFIG. 4), respectively, at a later point in time after read optimization has been performed onvolume200C. Similarly, anchor medium405A is intended to represent anchor medium405 (ofFIG. 4) at a later point in time. Read optimization operations may create new address translation entries for anchor medium405A for sectors1-3 to make lookups tovolume200D more efficient. Previously, sectors1-3 ofanchor medium405 were mapped throughmediums230C and225A. However, the read optimization operations may break the links fromanchor medium405 to medium230C and instead map everything throughanchor medium405A. It is noted that at a future point in time,mediums230C and225A may be garbage collected if no other mediums or volumes are mapped to these mediums. Garbage collection may be defined as a process in which storage locations are freed and made available for reuse by the system.
Generally speaking, read optimization operations make future lookups of volumes and mediums more efficient by simplifying the mappings of volumes and mediums. However, read optimization operations may make changes to the mappings which mimic user activity. This may cause old data to be replicated if the storage controller mistakenly decides that the old data is new data based on the changes made to the mappings of the old data by read optimization operations.
Turning now toFIG. 6, a logical block diagram of a replication operation is shown. It may be assumed for the purposes of the discussion regardingFIG. 6 that a request to replicatevolume200D has been detected. In response to detecting this request, the storage controller oforiginal storage array105C may determine which sectors ofvolume200D to replicate to sourcestorage array170B.Source storage array170B,volume200E, and anchor medium230D are intended to representsource storage array170A,volume200B, and anchor medium230B (ofFIG. 2), respectively, at a later point in time.
The storage controller oforiginal storage array105C may determine which sectors ofvolume200D to replicate to sourcestorage array170B by querying mapping table500 ofFIG. 5. As noted previously, the entries formedium405 in mapping table500 make it appear as though all sectors ofmedium405 have been updated by user writes. However, to avoid replicating sectors which do not need to be replicated, the storage controller may compare the sequence numbers of the entries formedium405 in table500 to the highest sequence number in use thelast time volume200A was replicated to sourcestorage array170A (as shown inFIG. 2). It may be assumed that the highest sequence number was314 whenvolume200A was replicated fromoriginal storage array105A to sourcestorage array170A. Therefore, storage controller may only replicate sectors with a sequence number higher than314. Accordingly,sector0, with a sequence number of369, will be the only sector replicated to sourcestorage array170B.Sector0 ofanchor medium230D is shown with diagonal lines to indicate it has been replicated fromoriginal storage array105B to sourcestorage array170B. The storage controller may prevent sectors1-3 from being replicated since their sequence numbers are less than or equal to314.
Referring now toFIG. 7, one embodiment of amethod700 for creating a new medium and remapping data is shown. The components embodied insystem100 described above (e.g., storage controller110) may generally operate in accordance withmethod700. In addition, the steps in this embodiment are shown in sequential order. However, some steps may occur in a different order than shown, some steps may be performed concurrently, some steps may be combined with other steps, and some steps may be absent in another embodiment.
In one embodiment, a storage controller may create a new medium (block705). The storage controller may create the new medium as a result of any of a variety of operations or detected conditions. For example, in one embodiment, a storage controller may create the new medium as a result of taking a snapshot of an existing volume. In this case, the new medium may be a new anchor medium for the existing volume. In other embodiments, the new medium may be created for a new volume or for any of a variety of other reasons. In response to creating the new medium, the storage controller may be configured to determine a current sequence number and store this sequence number in the sequence upper allocation field of a medium history table entry corresponding to the new medium (block710). In other embodiments, the current sequence number may be stored in other tables and/or other locations. If an older medium (e.g., the previous anchor medium of the volume) is being made stable at the same time the new medium is created, then the current sequence number may also be stored in the sequence upper replacement field of a medium history table entry corresponding to the old medium.
Next, the storage controller may remap one or more existing data blocks directly through the new medium (block715). These one or more existing blocks may already be stored in the storage array and mapped through an older medium, and these one or more existing blocks may be remapped such that they now are mapped directly through the new medium. For example, in one embodiment, the one or more existing blocks may be remapped directly through the new medium as part of read optimization and/or garbage collection operations. In other embodiments, the one or more existing blocks may be remapped directly through the new medium as part of other types of operations. It is noted that the storage controller may remap data at other levels of granularity than blocks in other embodiments. For example, the storage controller may remap data of existing sectors, existing portions of mediums, or other amounts of data stored in the storage array.
As part of remapping the one or more blocks directly through the new medium, the storage controller may create a new mapping for each remapped block (block720). The one or more mappings may include one or more entries in an address translation table, a medium history table, a medium mapping table, and/or one or more other tables. Next, the storage controller may create a tag for each of the one or more blocks which have been remapped (block725). The tag may include one or more fields which allow the storage controller to determine when the one or more blocks were originally written, and/or with which medium or volume they were originally associated, and/or if the one or more blocks have been previously replicated. In one embodiment, the storage controller may create the tag from information stored in an original mapping associated with the one or more blocks. For example, in one embodiment, the storage controller may copy the sequence number from an existing mapping into the new mapping for the one or more blocks. Then, at a later point in time, the storage controller may utilize the tags to determine whether to replicate the remapped blocks during a replication operation (block730). For example, if each tag is a sequence number, the storage controller may compare each sequence number to the highest sequence number in use during a prior replication operation. Then, the storage controller may only replicate data with sequence numbers larger than this previously recorded highest sequence number in use. Afterblock730,method700 may end.
Turning now toFIG. 8, one embodiment of amethod800 for replicating a dataset is shown. The components embodied insystem100 described above (e.g., storage controller110) may generally operate in accordance withmethod800. In addition, the steps in this embodiment are shown in sequential order. However, some steps may occur in a different order than shown, some steps may be performed concurrently, some steps may be combined with other steps, and some steps may be absent in another embodiment.
A request to replicate a first dataset from a first storage array to a second storage array may be detected (block805). In one embodiment, the first dataset may be a volume. Next, it may be determined if the first dataset has been previously replicated from the first storage array to the second storage array (conditional block810). If the first dataset has not been previously replicated from the first storage array to the second storage array (conditional block810, “no” leg), then all of the contents of the first dataset may be replicated to the second storage array (block815).
If the first dataset has been previously replicated from the first storage array to the second storage array (conditional block810, “yes” leg), then the storage controller may retrieve a first tag associated with the most recent replication of the first dataset (block820). The first tag may identify a time, original medium ID, and/or sequence number associated with the most recent replication of the first dataset from the first storage array to the second storage array. Next, the storage controller may step through the mappings of the first dataset and replicate only the data which is younger than the first tag (block825). Also, the storage controller may prevent data which is older than the first tag from being replicated (block830). Afterblock830,method800 may end.
Referring now toFIG. 9, one embodiment of amethod900 for remapping a portion of a medium is shown. The components embodied insystem100 described above (e.g., storage controller110) may generally operate in accordance withmethod900. In addition, the steps in this embodiment are shown in sequential order. However, some steps may occur in a different order than shown, some steps may be performed concurrently, some steps may be combined with other steps, and some steps may be absent in another embodiment.
In one embodiment, a storage controller may perform read optimization operations on a first medium of a first dataset (block905). As part of the read optimization operations, a first portion of the first medium may be remapped to a second medium, wherein the second medium is younger than the first medium (block910). The first portion of the first medium may be a block, sector, or region, depending on the embodiment.
As part of the remapping of the first portion of the first medium to the second medium, the storage controller may retain a tag of the first portion, wherein the tag preserves a history associated with the first portion (block915). In various embodiments, the tag may be a sequence number, timestamp, original medium ID, or other ID. At a later point in time, the storage controller may utilize the tag to prevent the remapped first portion from being replicated as part of a replication operation of the first dataset (block920). For example, the storage controller may utilize the tag to identify the first portion with a previously replicated version of the first dataset. In other words, the storage controller may determine that the first portion had been previously replicated even though the first portion has been remapped to the second medium since the previous replication operation was performed. Afterblock920,method900 may end.
It is noted that the above-described embodiments may comprise software. In such an embodiment, the program instructions that implement the methods and/or mechanisms may be conveyed or stored on a non-transitory computer readable medium. Numerous types of media which are configured to store program instructions are available and include hard disks, floppy disks, CD-ROM, DVD, flash memory, Programmable ROMs (PROM), random access memory (RAM), and various other forms of volatile or non-volatile storage.
In various embodiments, one or more portions of the methods and mechanisms described herein may form part of a cloud-computing environment. In such embodiments, resources may be provided over the Internet as services according to one or more various models. Such models may include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). In IaaS, computer infrastructure is delivered as a service. In such a case, the computing equipment is generally owned and operated by the service provider. In the PaaS model, software tools and underlying equipment used by developers to develop software solutions may be provided as a service and hosted by the service provider. SaaS typically includes a service provider licensing software as a service on demand. The service provider may host the software, or may deploy the software to a customer for a given period of time. Numerous combinations of the above models are possible and are contemplated.
Although the embodiments above have been described in considerable detail, numerous variations and modifications will become apparent to those skilled in the art once the above disclosure is fully appreciated. It is intended that the following claims be interpreted to embrace all such variations and modifications.

Claims (9)

What is claimed is:
1. A system comprising:
one or more storage devices; and
a storage controller coupled to the one or more storage devices, wherein the storage controller is configured to:
perform a first replication operation that replicates stored data associated with a first logical grouping of data, wherein the first logical grouping of data corresponds to an indication of user write activity wherein user write activity updates a sequence number;
subsequent to performing the first replication operation, perform a read optimization operation that remaps a portion of the first logical grouping of data to generate a second logical grouping of data, wherein a remapping for the stored data within the second logical grouping of data corresponds to an indication of system write activity, wherein system write activity does not update a sequence number;
determining whether the remapping for the stored data within the second logical grouping of data corresponds to system write activity instead of user write activity; and
in response to determining that the remapping for the stored data within the second logical grouping of data corresponds to system write activity instead of user write activity, prevent the stored data from being replicated during a second replication operation involving the second logical grouping of data through use of the sequence number.
2. The system as recited inclaim 1, wherein the first logical grouping of data is older than the second logical grouping of data.
3. The system as recited inclaim 1, wherein the storage controller is further configured to:
record a current sequence number when the second logical grouping of data is created.
4. A method comprising:
by a storage controller coupled to one or more storage devices:
performing a first replication operation that replicates stored data associated with a first logical grouping of data, wherein the first logical grouping of data corresponds to an indication of user write activity wherein user write activity updates a sequence number;
subsequent to performing the first replication operation, performing a read optimization operation that remaps a portion of the first logical grouping of data to generate a second logical grouping of data, wherein a remapping for the stored data within the second logical grouping of data corresponds to an indication of system write activity, wherein system write activity does not update a sequence number;
determining whether the remapping for the stored data within the second logical grouping of data corresponds to system write activity instead of user write activity; and
in response to determining that the remapping for the stored data within the second logical grouping of data corresponds to system write activity instead of user write activity, prevent the stored data from being replicated during a second replication operation involving the second logical grouping of data through use of the sequence number.
5. The method as recited inclaim 4, wherein the first logical grouping of data is older than the second logical grouping of data.
6. The method as recited inclaim 4, further comprising:
recording a current sequence number when the second logical grouping of data is created.
7. A non-transitory computer readable storage medium storing program instructions, wherein the program instructions are executable by a processor to:
by a storage controller coupled to one or more storage devices:
perform a first replication operation that replicates stored data associated with a first logical grouping of data, wherein the first logical grouping of data corresponds to an indication of user write activity wherein user write activity updates a sequence number;
subsequent to performing the first replication operation, perform a read optimization operation that remaps a portion of the first logical grouping of data to generate a second logical grouping of data, wherein a remapping for the stored data within the second logical grouping of data corresponds to an indication of system write activity, wherein system write activity does not update a sequence number;
determining whether the remapping for the stored data within the second logical grouping of data corresponds to system write activity instead of user write activity; and
in response to determining that the remapping for the stored data within the second logical grouping of data corresponds to system write activity instead of user write activity, prevent the stored data from being replicated during a second replication operation involving the second logical grouping of data through use of the sequence number.
8. The non-transitory computer readable storage medium as recited inclaim 7, wherein the first logical grouping of data is older than the second logical grouping of data.
9. The non-transitory computer readable storage medium as recited inclaim 7, wherein the program instructions are further executable by a processor to:
record a current sequence number when the second logical grouping of data is created.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US11847333B2 (en)*2019-07-312023-12-19EMC IP Holding Company, LLCSystem and method for sub-block deduplication with search for identical sectors inside a candidate block

Families Citing this family (141)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US11614893B2 (en)2010-09-152023-03-28Pure Storage, Inc.Optimizing storage device access based on latency
US8468318B2 (en)2010-09-152013-06-18Pure Storage Inc.Scheduling of I/O writes in a storage environment
US8589625B2 (en)2010-09-152013-11-19Pure Storage, Inc.Scheduling of reconstructive I/O read operations in a storage environment
US12008266B2 (en)2010-09-152024-06-11Pure Storage, Inc.Efficient read by reconstruction
US8589655B2 (en)2010-09-152013-11-19Pure Storage, Inc.Scheduling of I/O in an SSD environment
US8732426B2 (en)2010-09-152014-05-20Pure Storage, Inc.Scheduling of reactive I/O operations in a storage environment
US11275509B1 (en)2010-09-152022-03-15Pure Storage, Inc.Intelligently sizing high latency I/O requests in a storage environment
US9244769B2 (en)2010-09-282016-01-26Pure Storage, Inc.Offset protection data in a RAID array
US8775868B2 (en)2010-09-282014-07-08Pure Storage, Inc.Adaptive RAID for an SSD environment
US11636031B2 (en)2011-08-112023-04-25Pure Storage, Inc.Optimized inline deduplication
US8589640B2 (en)2011-10-142013-11-19Pure Storage, Inc.Method for maintaining multiple fingerprint tables in a deduplicating storage system
US8719540B1 (en)2012-03-152014-05-06Pure Storage, Inc.Fractal layout of data blocks across multiple devices
US10623386B1 (en)2012-09-262020-04-14Pure Storage, Inc.Secret sharing data protection in a storage system
US11032259B1 (en)2012-09-262021-06-08Pure Storage, Inc.Data protection in a storage system
US8745415B2 (en)2012-09-262014-06-03Pure Storage, Inc.Multi-drive cooperation to generate an encryption key
US11768623B2 (en)2013-01-102023-09-26Pure Storage, Inc.Optimizing generalized transfers between storage systems
US9063967B2 (en)2013-01-102015-06-23Pure Storage, Inc.Performing copies in a storage system
US10908835B1 (en)2013-01-102021-02-02Pure Storage, Inc.Reversing deletion of a virtual machine
US11733908B2 (en)2013-01-102023-08-22Pure Storage, Inc.Delaying deletion of a dataset
US10263770B2 (en)2013-11-062019-04-16Pure Storage, Inc.Data protection in a storage system using external secrets
US11128448B1 (en)2013-11-062021-09-21Pure Storage, Inc.Quorum-aware secret sharing
US10365858B2 (en)2013-11-062019-07-30Pure Storage, Inc.Thin provisioning in a storage device
US9208086B1 (en)2014-01-092015-12-08Pure Storage, Inc.Using frequency domain to prioritize storage of metadata in a cache
US10656864B2 (en)2014-03-202020-05-19Pure Storage, Inc.Data replication within a flash storage array
US9779268B1 (en)2014-06-032017-10-03Pure Storage, Inc.Utilizing a non-repeating identifier to encrypt data
US11399063B2 (en)2014-06-042022-07-26Pure Storage, Inc.Network authentication for a storage system
US9218244B1 (en)2014-06-042015-12-22Pure Storage, Inc.Rebuilding data across storage nodes
US10496556B1 (en)2014-06-252019-12-03Pure Storage, Inc.Dynamic data protection within a flash storage system
US9218407B1 (en)2014-06-252015-12-22Pure Storage, Inc.Replication and intermediate read-write state for mediums
US10296469B1 (en)2014-07-242019-05-21Pure Storage, Inc.Access control in a flash storage system
US9558069B2 (en)2014-08-072017-01-31Pure Storage, Inc.Failure mapping in a storage array
US9495255B2 (en)2014-08-072016-11-15Pure Storage, Inc.Error recovery in a storage cluster
US9864761B1 (en)2014-08-082018-01-09Pure Storage, Inc.Read optimization operations in a storage system
US10430079B2 (en)2014-09-082019-10-01Pure Storage, Inc.Adjusting storage capacity in a computing system
US12175076B2 (en)2014-09-082024-12-24Pure Storage, Inc.Projecting capacity utilization for snapshots
US10164841B2 (en)2014-10-022018-12-25Pure Storage, Inc.Cloud assist for storage systems
US9489132B2 (en)2014-10-072016-11-08Pure Storage, Inc.Utilizing unmapped and unknown states in a replicated storage system
US10430282B2 (en)2014-10-072019-10-01Pure Storage, Inc.Optimizing replication by distinguishing user and system write activity
US9727485B1 (en)2014-11-242017-08-08Pure Storage, Inc.Metadata rewrite and flatten optimization
US9773007B1 (en)*2014-12-012017-09-26Pure Storage, Inc.Performance improvements in a storage system
US9588842B1 (en)2014-12-112017-03-07Pure Storage, Inc.Drive rebuild
US9552248B2 (en)2014-12-112017-01-24Pure Storage, Inc.Cloud alert to replica
US9864769B2 (en)2014-12-122018-01-09Pure Storage, Inc.Storing data utilizing repeating pattern detection
US10545987B2 (en)2014-12-192020-01-28Pure Storage, Inc.Replication to the cloud
US11947968B2 (en)2015-01-212024-04-02Pure Storage, Inc.Efficient use of zone in a storage device
US10296354B1 (en)2015-01-212019-05-21Pure Storage, Inc.Optimized boot operations within a flash storage array
US9710165B1 (en)2015-02-182017-07-18Pure Storage, Inc.Identifying volume candidates for space reclamation
US10082985B2 (en)2015-03-272018-09-25Pure Storage, Inc.Data striping across storage nodes that are assigned to multiple logical arrays
US10178169B2 (en)2015-04-092019-01-08Pure Storage, Inc.Point to point based backend communication layer for storage processing
US10140149B1 (en)2015-05-192018-11-27Pure Storage, Inc.Transactional commits with hardware assists in remote memory
US9547441B1 (en)2015-06-232017-01-17Pure Storage, Inc.Exposing a geometry of a storage device
US10310740B2 (en)2015-06-232019-06-04Pure Storage, Inc.Aligning memory access operations to a geometry of a storage device
US11341136B2 (en)2015-09-042022-05-24Pure Storage, Inc.Dynamically resizable structures for approximate membership queries
KR20170028825A (en)2015-09-042017-03-14퓨어 스토리지, 아이앤씨.Memory-efficient storage and searching in hash tables using compressed indexes
US11269884B2 (en)2015-09-042022-03-08Pure Storage, Inc.Dynamically resizable structures for approximate membership queries
US9843453B2 (en)2015-10-232017-12-12Pure Storage, Inc.Authorizing I/O commands with I/O tokens
US11194500B2 (en)*2016-01-282021-12-07Netapp, Inc.Resilient implementation of client file operations and replication
US10133503B1 (en)2016-05-022018-11-20Pure Storage, Inc.Selecting a deduplication process based on a difference between performance metrics
US10452297B1 (en)2016-05-022019-10-22Pure Storage, Inc.Generating and optimizing summary index levels in a deduplication storage system
US10203903B2 (en)2016-07-262019-02-12Pure Storage, Inc.Geometry based, space aware shelf/writegroup evacuation
US10191662B2 (en)2016-10-042019-01-29Pure Storage, Inc.Dynamic allocation of segments in a flash storage system
US10756816B1 (en)2016-10-042020-08-25Pure Storage, Inc.Optimized fibre channel and non-volatile memory express access
US10162523B2 (en)2016-10-042018-12-25Pure Storage, Inc.Migrating data between volumes using virtual copy operation
US10613974B2 (en)2016-10-042020-04-07Pure Storage, Inc.Peer-to-peer non-volatile random-access memory
US10481798B2 (en)2016-10-282019-11-19Pure Storage, Inc.Efficient flash management for multiple controllers
US10185505B1 (en)2016-10-282019-01-22Pure Storage, Inc.Reading a portion of data to replicate a volume based on sequence numbers
US10359942B2 (en)2016-10-312019-07-23Pure Storage, Inc.Deduplication aware scalable content placement
US10452290B2 (en)2016-12-192019-10-22Pure Storage, Inc.Block consolidation in a direct-mapped flash storage system
US11550481B2 (en)2016-12-192023-01-10Pure Storage, Inc.Efficiently writing data in a zoned drive storage system
US11093146B2 (en)2017-01-122021-08-17Pure Storage, Inc.Automatic load rebalancing of a write group
US10528488B1 (en)2017-03-302020-01-07Pure Storage, Inc.Efficient name coding
US12045487B2 (en)2017-04-212024-07-23Pure Storage, Inc.Preserving data deduplication in a multi-tenant storage system
US11403019B2 (en)2017-04-212022-08-02Pure Storage, Inc.Deduplication-aware per-tenant encryption
US10944671B2 (en)2017-04-272021-03-09Pure Storage, Inc.Efficient data forwarding in a networked device
US10402266B1 (en)2017-07-312019-09-03Pure Storage, Inc.Redundant array of independent disks in a direct-mapped flash storage system
US10831935B2 (en)2017-08-312020-11-10Pure Storage, Inc.Encryption management with host-side data reduction
US10776202B1 (en)2017-09-222020-09-15Pure Storage, Inc.Drive, blade, or data shard decommission via RAID geometry shrinkage
US10789211B1 (en)2017-10-042020-09-29Pure Storage, Inc.Feature-based deduplication
US10884919B2 (en)2017-10-312021-01-05Pure Storage, Inc.Memory management in a storage system
US10860475B1 (en)2017-11-172020-12-08Pure Storage, Inc.Hybrid flash translation layer
US10970395B1 (en)2018-01-182021-04-06Pure Storage, IncSecurity threat monitoring for a storage system
US11010233B1 (en)2018-01-182021-05-18Pure Storage, IncHardware-based system monitoring
US11144638B1 (en)2018-01-182021-10-12Pure Storage, Inc.Method for storage system detection and alerting on potential malicious action
US10467527B1 (en)2018-01-312019-11-05Pure Storage, Inc.Method and apparatus for artificial intelligence acceleration
US11036596B1 (en)2018-02-182021-06-15Pure Storage, Inc.System for delaying acknowledgements on open NAND locations until durability has been confirmed
US11494109B1 (en)2018-02-222022-11-08Pure Storage, Inc.Erase block trimming for heterogenous flash memory storage devices
US11934322B1 (en)2018-04-052024-03-19Pure Storage, Inc.Multiple encryption keys on storage drives
US11995336B2 (en)2018-04-252024-05-28Pure Storage, Inc.Bucket views
US11385792B2 (en)2018-04-272022-07-12Pure Storage, Inc.High availability controller pair transitioning
US10678433B1 (en)2018-04-272020-06-09Pure Storage, Inc.Resource-preserving system upgrade
US10678436B1 (en)2018-05-292020-06-09Pure Storage, Inc.Using a PID controller to opportunistically compress more data during garbage collection
US11436023B2 (en)2018-05-312022-09-06Pure Storage, Inc.Mechanism for updating host file system and flash translation layer based on underlying NAND technology
US10776046B1 (en)2018-06-082020-09-15Pure Storage, Inc.Optimized non-uniform memory access
US11281577B1 (en)2018-06-192022-03-22Pure Storage, Inc.Garbage collection tuning for low drive wear
US11869586B2 (en)2018-07-112024-01-09Pure Storage, Inc.Increased data protection by recovering data from partially-failed solid-state devices
US11133076B2 (en)2018-09-062021-09-28Pure Storage, Inc.Efficient relocation of data between storage devices of a storage system
US11194759B2 (en)2018-09-062021-12-07Pure Storage, Inc.Optimizing local data relocation operations of a storage device of a storage system
US10846216B2 (en)2018-10-252020-11-24Pure Storage, Inc.Scalable garbage collection
US11113409B2 (en)2018-10-262021-09-07Pure Storage, Inc.Efficient rekey in a transparent decrypting storage array
US11194473B1 (en)2019-01-232021-12-07Pure Storage, Inc.Programming frequently read data to low latency portions of a solid-state storage array
US11588633B1 (en)2019-03-152023-02-21Pure Storage, Inc.Decommissioning keys in a decryption storage system
US11334254B2 (en)2019-03-292022-05-17Pure Storage, Inc.Reliability based flash page sizing
US11397674B1 (en)2019-04-032022-07-26Pure Storage, Inc.Optimizing garbage collection across heterogeneous flash devices
US11775189B2 (en)2019-04-032023-10-03Pure Storage, Inc.Segment level heterogeneity
US10990480B1 (en)2019-04-052021-04-27Pure Storage, Inc.Performance of RAID rebuild operations by a storage group controller of a storage system
US12087382B2 (en)2019-04-112024-09-10Pure Storage, Inc.Adaptive threshold for bad flash memory blocks
US11099986B2 (en)2019-04-122021-08-24Pure Storage, Inc.Efficient transfer of memory contents
US11487665B2 (en)2019-06-052022-11-01Pure Storage, Inc.Tiered caching of data in a storage system
US11281394B2 (en)2019-06-242022-03-22Pure Storage, Inc.Replication across partitioning schemes in a distributed storage system
US10929046B2 (en)2019-07-092021-02-23Pure Storage, Inc.Identifying and relocating hot data to a cache determined with read velocity based on a threshold stored at a storage device
US12135888B2 (en)2019-07-102024-11-05Pure Storage, Inc.Intelligent grouping of data based on expected lifespan
US11422751B2 (en)2019-07-182022-08-23Pure Storage, Inc.Creating a virtual storage system
US11086713B1 (en)2019-07-232021-08-10Pure Storage, Inc.Optimized end-to-end integrity storage system
US11963321B2 (en)2019-09-112024-04-16Pure Storage, Inc.Low profile latching mechanism
US11403043B2 (en)2019-10-152022-08-02Pure Storage, Inc.Efficient data compression by grouping similar data within a data segment
US11675898B2 (en)2019-11-222023-06-13Pure Storage, Inc.Recovery dataset management for security threat monitoring
US12079502B2 (en)2019-11-222024-09-03Pure Storage, Inc.Storage element attribute-based determination of a data protection policy for use within a storage system
US12079356B2 (en)2019-11-222024-09-03Pure Storage, Inc.Measurement interval anomaly detection-based generation of snapshots
US11651075B2 (en)2019-11-222023-05-16Pure Storage, Inc.Extensible attack monitoring by a storage system
US11625481B2 (en)2019-11-222023-04-11Pure Storage, Inc.Selective throttling of operations potentially related to a security threat to a storage system
US12050689B2 (en)2019-11-222024-07-30Pure Storage, Inc.Host anomaly-based generation of snapshots
US11657155B2 (en)2019-11-222023-05-23Pure Storage, IncSnapshot delta metric based determination of a possible ransomware attack against data maintained by a storage system
US11615185B2 (en)2019-11-222023-03-28Pure Storage, Inc.Multi-layer security threat detection for a storage system
US11720692B2 (en)2019-11-222023-08-08Pure Storage, Inc.Hardware token based management of recovery datasets for a storage system
US12067118B2 (en)2019-11-222024-08-20Pure Storage, Inc.Detection of writing to a non-header portion of a file as an indicator of a possible ransomware attack against a storage system
US11720714B2 (en)2019-11-222023-08-08Pure Storage, Inc.Inter-I/O relationship based detection of a security threat to a storage system
US11500788B2 (en)2019-11-222022-11-15Pure Storage, Inc.Logical address based authorization of operations with respect to a storage system
US11687418B2 (en)2019-11-222023-06-27Pure Storage, Inc.Automatic generation of recovery plans specific to individual storage elements
US11520907B1 (en)2019-11-222022-12-06Pure Storage, Inc.Storage system snapshot retention based on encrypted data
US11941116B2 (en)2019-11-222024-03-26Pure Storage, Inc.Ransomware-based data protection parameter modification
US12050683B2 (en)*2019-11-222024-07-30Pure Storage, Inc.Selective control of a data synchronization setting of a storage system based on a possible ransomware attack against the storage system
US11755751B2 (en)2019-11-222023-09-12Pure Storage, Inc.Modify access restrictions in response to a possible attack against data stored by a storage system
US12153670B2 (en)2019-11-222024-11-26Pure Storage, Inc.Host-driven threat detection-based protection of storage elements within a storage system
US12411962B2 (en)2019-11-222025-09-09Pure Storage, Inc.Managed run-time environment-based detection of a ransomware attack
US12248566B2 (en)2019-11-222025-03-11Pure Storage, Inc.Snapshot deletion pattern-based determination of ransomware attack against data maintained by a storage system
US12079333B2 (en)2019-11-222024-09-03Pure Storage, Inc.Independent security threat detection and remediation by storage systems in a synchronous replication arrangement
US11341236B2 (en)2019-11-222022-05-24Pure Storage, Inc.Traffic-based detection of a security threat to a storage system
US11645162B2 (en)2019-11-222023-05-09Pure Storage, Inc.Recovery point determination for data restoration in a storage system
US12204657B2 (en)2019-11-222025-01-21Pure Storage, Inc.Similar block detection-based detection of a ransomware attack
US11681448B2 (en)*2020-09-082023-06-20Pure Storage, Inc.Multiple device IDs in a multi-fabric module storage system
US11809449B2 (en)*2021-09-202023-11-07EMC IP Holding Company LLCGranular data replication

Citations (143)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US5208813A (en)1990-10-231993-05-04Array Technology CorporationOn-line reconstruction of a failed redundant array system
WO1995002349A1 (en)1993-07-151995-01-26Paul Hettich Gmbh & Co.Locking device for drawers and the like
US5403639A (en)1992-09-021995-04-04Storage Technology CorporationFile server having snapshot application data groups
WO1999013403A1 (en)1997-09-091999-03-18Storage Technology CorporationData file storage management system for snapshot copy operations
US5940838A (en)1997-07-111999-08-17International Business Machines CorporationParallel file system and method anticipating cache usage patterns
US6263350B1 (en)1996-10-112001-07-17Sun Microsystems, Inc.Method and system for leasing storage
US20020038436A1 (en)2000-09-282002-03-28Nec CorporationDisk array apparatus, error control method for the same apparatus, and control program for the same method
US6412045B1 (en)1995-05-232002-06-25Lsi Logic CorporationMethod for transferring data from a host computer to a storage media using selectable caching strategies
US20020087544A1 (en)2000-06-202002-07-04Selkirk Stephen S.Dynamically changeable virtual mapping scheme
US20020178335A1 (en)2000-06-192002-11-28Storage Technology CorporationApparatus and method for dynamically changeable virtual mapping scheme
US20030140209A1 (en)2001-12-102003-07-24Richard TestardiFast path caching
US20040049572A1 (en)2002-09-062004-03-11Hitachi, Ltd.Event notification in storage networks
US6718448B1 (en)2000-11-282004-04-06Emc CorporationQueued locking of a shared resource using multimodal lock types
US6757769B1 (en)2000-11-282004-06-29Emc CorporationCooperative lock override procedure
US6799283B1 (en)1998-12-042004-09-28Matsushita Electric Industrial Co., Ltd.Disk array device
US6834298B1 (en)1999-09-212004-12-21Siemens Information And Communication Networks, Inc.System and method for network auto-discovery and configuration
US6850938B1 (en)2001-02-082005-02-01Cisco Technology, Inc.Method and apparatus providing optimistic locking of shared computer resources
US20050066095A1 (en)2003-09-232005-03-24Sachin MullickMulti-threaded write interface and methods for increasing the single file read and write throughput of a file server
US6915434B1 (en)1998-12-182005-07-05Fujitsu LimitedElectronic data storage apparatus with key management function and electronic data storage method
US20050216535A1 (en)2004-03-292005-09-29Nobuyuki SaikaBackup method, storage system, and program for backup
US20050223154A1 (en)2004-04-022005-10-06Hitachi Global Storage Technologies Netherlands B.V.Method for controlling disk drive
US6973549B1 (en)2001-12-102005-12-06Incipient, Inc.Locking technique for control and synchronization
US20060074940A1 (en)2004-10-052006-04-06International Business Machines CorporationDynamic management of node clusters to enable data sharing
US7028216B2 (en)2003-11-262006-04-11Hitachi, Ltd.Disk array system and a method of avoiding failure of the disk array system
US7028218B2 (en)2002-12-022006-04-11Emc CorporationRedundant multi-processor and logical processor configuration for a file server
US7039827B2 (en)2001-02-132006-05-02Network Appliance, Inc.Failover processing in a storage system
US20060136365A1 (en)2004-04-262006-06-22Storewiz Inc.Method and system for compression of data for block mode access storage
US20060155946A1 (en)2005-01-102006-07-13Minwen JiMethod for taking snapshots of data
US20070067585A1 (en)2005-09-212007-03-22Naoto UedaSnapshot maintenance apparatus and method
JP2007094472A (en)2005-09-272007-04-12Hitachi Ltd Snapshot management apparatus and method, and storage system
US7216164B1 (en)2002-10-092007-05-08Cisco Technology, Inc.Methods and apparatus for determining the performance of a server
US20070162954A1 (en)2003-04-072007-07-12Pela Peter LNetwork security system based on physical location
US20070171562A1 (en)2006-01-252007-07-26Fujitsu LimitedDisk array apparatus and disk-array control method
US20070174673A1 (en)2006-01-252007-07-26Tomohiro KawaguchiStorage system and data restoration method thereof
US20070220313A1 (en)2006-03-032007-09-20Hitachi, Ltd.Storage control device and data recovery method for storage control device
US20070245090A1 (en)2006-03-242007-10-18Chris KingMethods and Systems for Caching Content at Multiple Levels
US20070266179A1 (en)2006-05-112007-11-15Emulex Communications CorporationIntelligent network processor and method of using intelligent network processor
US20080059699A1 (en)2006-09-062008-03-06International Business Machines CorporationSystem and method of mirrored raid array write management
US20080065852A1 (en)2006-09-082008-03-13Derick Guy MooreIdentification of Uncommitted Memory Blocks During an Initialization Procedure
US20080134174A1 (en)2006-12-052008-06-05Microsoft CorporationReduction of operational costs of virtual TLBs
US20080155191A1 (en)2006-12-212008-06-26Anderson Robert JSystems and methods for providing heterogeneous storage systems
US20080178040A1 (en)2005-05-192008-07-24Fujitsu LimitedDisk failure restoration method and disk array apparatus
US20080209096A1 (en)2006-08-102008-08-28Lin Robert H CStructure for initializing expansion adpaters installed in a computer system having similar expansion adapters
WO2008102347A1 (en)2007-02-252008-08-28Sandisk Il Ltd.Interruptible cache flushing in flash memory systems
US20080244205A1 (en)2007-03-302008-10-02Hitachi, Ltd. And Hitachi Computer Peripherals Co., Ltd.Storage system and storage control method
US20080275928A1 (en)2007-04-272008-11-06Gary Stephen ShusterFlexible data storage system
US20080285083A1 (en)2007-03-302008-11-20Brother Kogyo Kabushiki KaishaImage-processing device
US20080307270A1 (en)2007-06-072008-12-11Micron Technology, Inc.Emerging bad block detection
US20090006587A1 (en)2005-05-192009-01-01Wyse Technology Inc.Method and system for thin client configuration
US20090037662A1 (en)2007-07-302009-02-05Lee Charles La FreseMethod for Selectively Enabling and Disabling Read Caching in a Storage Subsystem
US20090204858A1 (en)2006-11-272009-08-13Fujitsu LimitedServer management program, system, and method, and mail server management program
US20090228648A1 (en)2008-03-042009-09-10International Business Machines CorporationHigh performance disk array rebuild
US20090300084A1 (en)2008-05-292009-12-03Red Hat, Inc.Set partitioning for encoding file system allocation metadata
US20100057673A1 (en)2008-09-042010-03-04Boris SavovReusable mapping rules for data to data transformation
US20100058026A1 (en)2008-08-272010-03-04International Business Machines CorporationLoading entries into a tlb in hardware via indirect tlb entries
US20100067706A1 (en)2007-05-302010-03-18Fujitsu LimitedImage encrypting device, image decrypting device and method
US20100077205A1 (en)2008-09-192010-03-25Ekstrom Joseph JSystem and Method for Cipher E-Mail Protection
US20100082879A1 (en)2008-09-262010-04-01Mckean Brian DPriority command queues for low latency solid state drives
US20100106905A1 (en)2008-10-292010-04-29Kabushiki Kaisha ToshibaDisk array control device and storage device
US20100153641A1 (en)2008-12-122010-06-17Divya JagadishHierarchical storage management (hsm) for redundant array of independent disks (raid)
US20100153620A1 (en)2008-12-172010-06-17Mckean BrianStorage system snapshot assisted by SSD technology
WO2010071655A1 (en)2008-12-192010-06-24Hewlett-Packard Development Company, L.P.Redundant data storage for uniform read latency
US20100191897A1 (en)2009-01-232010-07-29Seagate Technology LlcSystem and method for wear leveling in a data storage device
US7783682B1 (en)2003-06-302010-08-24Emc CorporationProbabilistic summary data structure based encoding for garbage collection in backup systems
JP2010211681A (en)2009-03-122010-09-24Toshiba CorpStorage device and virtual device
US20100250802A1 (en)2009-03-262010-09-30Arm LimitedData processing apparatus and method for performing hazard detection
US20100250882A1 (en)2009-03-302010-09-30International Business Machines CorporationIncremental backup of source to target storage volume
US20100281225A1 (en)2009-04-302010-11-04Inventec CorporationData processing apparatus of basic input/output system
US20100287327A1 (en)2009-05-062010-11-11Via Telecom, Inc.Computing systems and methods for managing flash memory device
US7873619B1 (en)2008-03-312011-01-18Emc CorporationManaging metadata
US7913300B1 (en)2005-04-082011-03-22Netapp, Inc.Centralized role-based access control for storage servers
US20110072300A1 (en)2009-09-212011-03-24Stmicroelectronics (Rousset) SasTearing-proof method for writing data in a nonvolatile memory
US7933936B2 (en)2005-06-102011-04-26Network Appliance, Inc.Method and system for automatic management of storage space
US20110145598A1 (en)2009-12-162011-06-16Smith Ned MProviding Integrity Verification And Attestation In A Hidden Execution Environment
US20110161559A1 (en)2009-12-312011-06-30Yurzola Damian PPhysical compression of data with flat or systematic pattern
US20110167221A1 (en)2010-01-062011-07-07Gururaj PangalSystem and method for efficiently creating off-site data volume back-ups
US7979613B2 (en)2005-07-152011-07-12International Business Machines CorporationPerformance of a storage system
US20110238634A1 (en)2010-03-242011-09-29Makoto KobaraStorage apparatus which eliminates duplicated data in cooperation with host apparatus, storage system with the storage apparatus, and deduplication method for the system
US8086652B1 (en)2007-04-272011-12-27Netapp, Inc.Storage system-based hole punching for reclaiming unused space from a data container
US20120005163A1 (en)*2005-11-042012-01-05Oracle America, Inc.Block-based incremental backup
US20120023375A1 (en)2010-07-232012-01-26Salesforce.Com, Inc.Generating performance alerts
US20120036309A1 (en)2010-08-052012-02-09Ut-Battelle, LlcCoordinated garbage collection for raid array of solid state disks
US8117464B1 (en)2008-04-302012-02-14Netapp, Inc.Sub-volume level security for deduplicated data
US8170991B1 (en)*2008-09-152012-05-01Symantec CorporationMethod and apparatus for managing image data on a sequential storage device
US20120117029A1 (en)2010-11-082012-05-10Stephen GoldBackup policies for using different storage tiers
US8205065B2 (en)2009-03-302012-06-19Exar CorporationSystem and method for data deduplication
US20120198175A1 (en)2011-01-312012-08-02Fusion-Io, Inc.Apparatus, system, and method for managing eviction of data
US20120330954A1 (en)2011-06-272012-12-27Swaminathan SivasubramanianSystem And Method For Implementing A Scalable Data Storage Service
US8352540B2 (en)2008-03-062013-01-08International Business Machines CorporationDistinguishing data streams to enhance data storage efficiency
US20130013563A1 (en)*2003-11-132013-01-10Commvault Systems, Inc.System and method for performing integrated storage operations
US20130042052A1 (en)2011-08-112013-02-14John ColgroveLogical sector mapping in a flash storage array
US20130046995A1 (en)2010-02-232013-02-21David MovshovitzMethod and computer program product for order preserving symbol based encryption
US20130047029A1 (en)2011-08-172013-02-21Fujitsu LimitedStorage system, storage control apparatus, and storage control method
US20130091102A1 (en)2011-10-112013-04-11Netapp, Inc.Deduplication aware scheduling of requests to access data blocks
US20130205110A1 (en)2012-02-062013-08-08Doron KettnerStorage Device and Method for Selective Data Compression
US20130227236A1 (en)2011-03-182013-08-29Fusion-Io, Inc.Systems and methods for storage allocation
US8527544B1 (en)2011-08-112013-09-03Pure Storage Inc.Garbage collection in a storage system
US8560747B1 (en)2007-02-162013-10-15Vmware, Inc.Associating heartbeat data with access to shared resources of a computer system
US20130275656A1 (en)2012-04-172013-10-17Fusion-Io, Inc.Apparatus, system, and method for key-value pool identifier encoding
US20130275391A1 (en)2012-04-172013-10-17Fusion-Io, Inc.Data Expiry in a Non-Volatile Device
CN103370685A (en)2010-09-152013-10-23净睿存储股份有限公司Scheduling of I/O writes in a storage environment
CN103370686A (en)2010-09-152013-10-23净睿存储股份有限公司Scheduling of reconstructive I/O read operations in a storage environment
US20130283058A1 (en)2012-04-232013-10-24International Business Machines CorporationPreserving redundancy in data deduplication systems by encryption
US20130290648A1 (en)2012-04-272013-10-31Netapp, Inc.Efficient data object storage and retrieval
US20130318314A1 (en)2012-05-252013-11-28Red Hat, Inc.Managing copies of data on multiple nodes using a data controller node to avoid transaction deadlock
US20130339303A1 (en)2012-06-182013-12-19Actifio, Inc.System and method for incrementally backing up out-of-band data
US8615641B2 (en)2009-05-062013-12-24Hewlett-Packard Development Company, L.P.System and method for differential backup
US8621241B1 (en)2008-04-252013-12-31Netapp, Inc.Storage and recovery of cryptographic key identifiers
US20140052946A1 (en)2012-08-172014-02-20Jeffrey S. KimmelTechniques for opportunistic data storage
US20140068791A1 (en)2012-08-312014-03-06Cleversafe, Inc.Securely storing data in a dispersed storage network
US8682870B1 (en)*2013-03-012014-03-25Storagecraft Technology CorporationDefragmentation during multiphase deduplication
US20140089730A1 (en)2012-09-262014-03-27Fujitsu LimitedStorage control device and method for controlling storages
US20140101361A1 (en)2012-10-082014-04-10International Business Machines CorporationSystem supporting multiple partitions with differing translation formats
US8700875B1 (en)2011-09-202014-04-15Netapp, Inc.Cluster view for storage devices
US8700562B2 (en)*2004-06-222014-04-15Sap AgSystems and methods for online transactional data processing
US20140143517A1 (en)2012-11-192014-05-22Hitachi, Ltd.Storage system
US8751463B1 (en)2011-06-302014-06-10Emc CorporationCapacity forecasting for a deduplicating storage system
US8751454B1 (en)*2014-01-282014-06-10Storagecraft Technology CorporationVirtual defragmentation in a deduplication vault
US20140172929A1 (en)2012-12-142014-06-19Jeffrey C. SedayaoAdaptive data striping and replication across multiple storage clouds for high availability and performance
US20140189211A1 (en)*2012-12-312014-07-03Sandisk Enterprise Ip LlcRemapping Blocks in a Storage Device
US20140201150A1 (en)2013-01-112014-07-17Commvault Systems, Inc.Single snapshot for multiple agents
US20140215129A1 (en)2013-01-282014-07-31Radian Memory Systems, LLCCooperative flash memory control
US8806160B2 (en)2011-08-162014-08-12Pure Storage, Inc.Mapping in a storage system
US20140229452A1 (en)2011-10-062014-08-14Hitachi, Ltd.Stored data deduplication method, stored data deduplication apparatus, and deduplication program
US20140229131A1 (en)2012-05-042014-08-14Lsi CorporationRetention-drift-history-based non-volatile memory read threshold optimization
CN104025010A (en)2011-09-302014-09-03净睿存储股份有限公司Variable length encoding in a storage system
US20140281308A1 (en)2013-03-152014-09-18Bracket Computing, Inc.Storage unit selection for virtualized storage units
US8874850B1 (en)2012-05-102014-10-28Netapp, Inc.Hierarchically tagged cache
US20140325115A1 (en)2013-04-252014-10-30Fusion-Io, Inc.Conditional Iteration for a Non-Volatile Device
US8959305B1 (en)2012-06-292015-02-17Emc CorporationSpace reclamation with virtually provisioned devices
US20150234709A1 (en)2014-02-202015-08-20Fujitsu LimitedStorage controller, storage system, and control method
US20150244775A1 (en)2014-02-272015-08-27Commvault Systems, Inc.Work flow management for an information management system
US20150278534A1 (en)2014-03-262015-10-01Amazon Technologies, Inc.Electronic communication with secure screen sharing of sensitive information
US20160019114A1 (en)2014-07-152016-01-21Nimble Storage, Inc.Methods and systems for storing data in a redundant manner on a plurality of storage units of a storage system
US20160098199A1 (en)2014-10-072016-04-07Pure Storage, Inc.Utilizing unmapped and unknown states in a replicated storage system
US20160098191A1 (en)2014-10-072016-04-07Pure Storage, Inc.Optimizing replication by distinguishing user and system write activity
US9436720B2 (en)2013-01-102016-09-06Pure Storage, Inc.Safety for volume operations
EP3066610A1 (en)2013-11-062016-09-14Pure Storage, Inc.Data protection in a storage system using external secrets
EP3082047A1 (en)2010-09-282016-10-19Pure Storage, Inc.Adaptive raid for an ssd environment
US9513820B1 (en)2014-04-072016-12-06Pure Storage, Inc.Dynamically controlling temporary compromise on data redundancy
US9516016B2 (en)2013-11-112016-12-06Pure Storage, Inc.Storage array password management
US9552248B2 (en)2014-12-112017-01-24Pure Storage, Inc.Cloud alert to replica
EP3120235A1 (en)2014-03-202017-01-25Pure Storage, Inc.Remote replication using mediums

Patent Citations (150)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US5208813A (en)1990-10-231993-05-04Array Technology CorporationOn-line reconstruction of a failed redundant array system
US5403639A (en)1992-09-021995-04-04Storage Technology CorporationFile server having snapshot application data groups
WO1995002349A1 (en)1993-07-151995-01-26Paul Hettich Gmbh & Co.Locking device for drawers and the like
US6412045B1 (en)1995-05-232002-06-25Lsi Logic CorporationMethod for transferring data from a host computer to a storage media using selectable caching strategies
US6263350B1 (en)1996-10-112001-07-17Sun Microsystems, Inc.Method and system for leasing storage
US5940838A (en)1997-07-111999-08-17International Business Machines CorporationParallel file system and method anticipating cache usage patterns
WO1999013403A1 (en)1997-09-091999-03-18Storage Technology CorporationData file storage management system for snapshot copy operations
US6799283B1 (en)1998-12-042004-09-28Matsushita Electric Industrial Co., Ltd.Disk array device
US6915434B1 (en)1998-12-182005-07-05Fujitsu LimitedElectronic data storage apparatus with key management function and electronic data storage method
US6834298B1 (en)1999-09-212004-12-21Siemens Information And Communication Networks, Inc.System and method for network auto-discovery and configuration
US20020178335A1 (en)2000-06-192002-11-28Storage Technology CorporationApparatus and method for dynamically changeable virtual mapping scheme
US20020087544A1 (en)2000-06-202002-07-04Selkirk Stephen S.Dynamically changeable virtual mapping scheme
US20020038436A1 (en)2000-09-282002-03-28Nec CorporationDisk array apparatus, error control method for the same apparatus, and control program for the same method
US6757769B1 (en)2000-11-282004-06-29Emc CorporationCooperative lock override procedure
US6718448B1 (en)2000-11-282004-04-06Emc CorporationQueued locking of a shared resource using multimodal lock types
US6850938B1 (en)2001-02-082005-02-01Cisco Technology, Inc.Method and apparatus providing optimistic locking of shared computer resources
US7039827B2 (en)2001-02-132006-05-02Network Appliance, Inc.Failover processing in a storage system
US20030140209A1 (en)2001-12-102003-07-24Richard TestardiFast path caching
US6973549B1 (en)2001-12-102005-12-06Incipient, Inc.Locking technique for control and synchronization
US20040049572A1 (en)2002-09-062004-03-11Hitachi, Ltd.Event notification in storage networks
US7216164B1 (en)2002-10-092007-05-08Cisco Technology, Inc.Methods and apparatus for determining the performance of a server
US7028218B2 (en)2002-12-022006-04-11Emc CorporationRedundant multi-processor and logical processor configuration for a file server
US20070162954A1 (en)2003-04-072007-07-12Pela Peter LNetwork security system based on physical location
US7783682B1 (en)2003-06-302010-08-24Emc CorporationProbabilistic summary data structure based encoding for garbage collection in backup systems
US20050066095A1 (en)2003-09-232005-03-24Sachin MullickMulti-threaded write interface and methods for increasing the single file read and write throughput of a file server
US20130013563A1 (en)*2003-11-132013-01-10Commvault Systems, Inc.System and method for performing integrated storage operations
US7028216B2 (en)2003-11-262006-04-11Hitachi, Ltd.Disk array system and a method of avoiding failure of the disk array system
US20050216535A1 (en)2004-03-292005-09-29Nobuyuki SaikaBackup method, storage system, and program for backup
US20050223154A1 (en)2004-04-022005-10-06Hitachi Global Storage Technologies Netherlands B.V.Method for controlling disk drive
US20060136365A1 (en)2004-04-262006-06-22Storewiz Inc.Method and system for compression of data for block mode access storage
US8700562B2 (en)*2004-06-222014-04-15Sap AgSystems and methods for online transactional data processing
US20060074940A1 (en)2004-10-052006-04-06International Business Machines CorporationDynamic management of node clusters to enable data sharing
US20060155946A1 (en)2005-01-102006-07-13Minwen JiMethod for taking snapshots of data
US7913300B1 (en)2005-04-082011-03-22Netapp, Inc.Centralized role-based access control for storage servers
US20090006587A1 (en)2005-05-192009-01-01Wyse Technology Inc.Method and system for thin client configuration
US20080178040A1 (en)2005-05-192008-07-24Fujitsu LimitedDisk failure restoration method and disk array apparatus
US7933936B2 (en)2005-06-102011-04-26Network Appliance, Inc.Method and system for automatic management of storage space
US7979613B2 (en)2005-07-152011-07-12International Business Machines CorporationPerformance of a storage system
US20070067585A1 (en)2005-09-212007-03-22Naoto UedaSnapshot maintenance apparatus and method
JP2007087036A (en)2005-09-212007-04-05Hitachi Ltd Snapshot maintenance apparatus and method
JP2007094472A (en)2005-09-272007-04-12Hitachi Ltd Snapshot management apparatus and method, and storage system
US20120005163A1 (en)*2005-11-042012-01-05Oracle America, Inc.Block-based incremental backup
US20070174673A1 (en)2006-01-252007-07-26Tomohiro KawaguchiStorage system and data restoration method thereof
US20070171562A1 (en)2006-01-252007-07-26Fujitsu LimitedDisk array apparatus and disk-array control method
US20070220313A1 (en)2006-03-032007-09-20Hitachi, Ltd.Storage control device and data recovery method for storage control device
US20070245090A1 (en)2006-03-242007-10-18Chris KingMethods and Systems for Caching Content at Multiple Levels
US20070266179A1 (en)2006-05-112007-11-15Emulex Communications CorporationIntelligent network processor and method of using intelligent network processor
US20080209096A1 (en)2006-08-102008-08-28Lin Robert H CStructure for initializing expansion adpaters installed in a computer system having similar expansion adapters
US20080059699A1 (en)2006-09-062008-03-06International Business Machines CorporationSystem and method of mirrored raid array write management
US20080065852A1 (en)2006-09-082008-03-13Derick Guy MooreIdentification of Uncommitted Memory Blocks During an Initialization Procedure
US20090204858A1 (en)2006-11-272009-08-13Fujitsu LimitedServer management program, system, and method, and mail server management program
US20080134174A1 (en)2006-12-052008-06-05Microsoft CorporationReduction of operational costs of virtual TLBs
US20080155191A1 (en)2006-12-212008-06-26Anderson Robert JSystems and methods for providing heterogeneous storage systems
US8560747B1 (en)2007-02-162013-10-15Vmware, Inc.Associating heartbeat data with access to shared resources of a computer system
WO2008102347A1 (en)2007-02-252008-08-28Sandisk Il Ltd.Interruptible cache flushing in flash memory systems
JP2008250667A (en)2007-03-302008-10-16Hitachi Ltd Storage system and storage control method
US20080285083A1 (en)2007-03-302008-11-20Brother Kogyo Kabushiki KaishaImage-processing device
US20080244205A1 (en)2007-03-302008-10-02Hitachi, Ltd. And Hitachi Computer Peripherals Co., Ltd.Storage system and storage control method
US20080275928A1 (en)2007-04-272008-11-06Gary Stephen ShusterFlexible data storage system
US8086652B1 (en)2007-04-272011-12-27Netapp, Inc.Storage system-based hole punching for reclaiming unused space from a data container
US20100067706A1 (en)2007-05-302010-03-18Fujitsu LimitedImage encrypting device, image decrypting device and method
US20080307270A1 (en)2007-06-072008-12-11Micron Technology, Inc.Emerging bad block detection
US20090037662A1 (en)2007-07-302009-02-05Lee Charles La FreseMethod for Selectively Enabling and Disabling Read Caching in a Storage Subsystem
US20090228648A1 (en)2008-03-042009-09-10International Business Machines CorporationHigh performance disk array rebuild
US8352540B2 (en)2008-03-062013-01-08International Business Machines CorporationDistinguishing data streams to enhance data storage efficiency
US7873619B1 (en)2008-03-312011-01-18Emc CorporationManaging metadata
US8621241B1 (en)2008-04-252013-12-31Netapp, Inc.Storage and recovery of cryptographic key identifiers
US8117464B1 (en)2008-04-302012-02-14Netapp, Inc.Sub-volume level security for deduplicated data
US20090300084A1 (en)2008-05-292009-12-03Red Hat, Inc.Set partitioning for encoding file system allocation metadata
US20100058026A1 (en)2008-08-272010-03-04International Business Machines CorporationLoading entries into a tlb in hardware via indirect tlb entries
US20100057673A1 (en)2008-09-042010-03-04Boris SavovReusable mapping rules for data to data transformation
US8170991B1 (en)*2008-09-152012-05-01Symantec CorporationMethod and apparatus for managing image data on a sequential storage device
US20100077205A1 (en)2008-09-192010-03-25Ekstrom Joseph JSystem and Method for Cipher E-Mail Protection
US20100082879A1 (en)2008-09-262010-04-01Mckean Brian DPriority command queues for low latency solid state drives
US20100106905A1 (en)2008-10-292010-04-29Kabushiki Kaisha ToshibaDisk array control device and storage device
US20100153641A1 (en)2008-12-122010-06-17Divya JagadishHierarchical storage management (hsm) for redundant array of independent disks (raid)
US20100153620A1 (en)2008-12-172010-06-17Mckean BrianStorage system snapshot assisted by SSD technology
WO2010071655A1 (en)2008-12-192010-06-24Hewlett-Packard Development Company, L.P.Redundant data storage for uniform read latency
US20100191897A1 (en)2009-01-232010-07-29Seagate Technology LlcSystem and method for wear leveling in a data storage device
JP2010211681A (en)2009-03-122010-09-24Toshiba CorpStorage device and virtual device
US20100250802A1 (en)2009-03-262010-09-30Arm LimitedData processing apparatus and method for performing hazard detection
US20100250882A1 (en)2009-03-302010-09-30International Business Machines CorporationIncremental backup of source to target storage volume
US8205065B2 (en)2009-03-302012-06-19Exar CorporationSystem and method for data deduplication
US20100281225A1 (en)2009-04-302010-11-04Inventec CorporationData processing apparatus of basic input/output system
US8615641B2 (en)2009-05-062013-12-24Hewlett-Packard Development Company, L.P.System and method for differential backup
US20100287327A1 (en)2009-05-062010-11-11Via Telecom, Inc.Computing systems and methods for managing flash memory device
US20110072300A1 (en)2009-09-212011-03-24Stmicroelectronics (Rousset) SasTearing-proof method for writing data in a nonvolatile memory
US20110145598A1 (en)2009-12-162011-06-16Smith Ned MProviding Integrity Verification And Attestation In A Hidden Execution Environment
US20110161559A1 (en)2009-12-312011-06-30Yurzola Damian PPhysical compression of data with flat or systematic pattern
US20110167221A1 (en)2010-01-062011-07-07Gururaj PangalSystem and method for efficiently creating off-site data volume back-ups
US20130046995A1 (en)2010-02-232013-02-21David MovshovitzMethod and computer program product for order preserving symbol based encryption
US20110238634A1 (en)2010-03-242011-09-29Makoto KobaraStorage apparatus which eliminates duplicated data in cooperation with host apparatus, storage system with the storage apparatus, and deduplication method for the system
US20120023375A1 (en)2010-07-232012-01-26Salesforce.Com, Inc.Generating performance alerts
US20120036309A1 (en)2010-08-052012-02-09Ut-Battelle, LlcCoordinated garbage collection for raid array of solid state disks
US9436396B2 (en)2010-09-152016-09-06Pure Storage, Inc.Scheduling of reconstructive I/O read operations in a storage environment
US9423967B2 (en)2010-09-152016-08-23Pure Storage, Inc.Scheduling of I/O writes in a storage environment
CN103370686A (en)2010-09-152013-10-23净睿存储股份有限公司Scheduling of reconstructive I/O read operations in a storage environment
CN103370685A (en)2010-09-152013-10-23净睿存储股份有限公司Scheduling of I/O writes in a storage environment
EP3082047A1 (en)2010-09-282016-10-19Pure Storage, Inc.Adaptive raid for an ssd environment
US20120117029A1 (en)2010-11-082012-05-10Stephen GoldBackup policies for using different storage tiers
US20120198175A1 (en)2011-01-312012-08-02Fusion-Io, Inc.Apparatus, system, and method for managing eviction of data
US20130227236A1 (en)2011-03-182013-08-29Fusion-Io, Inc.Systems and methods for storage allocation
US20120330954A1 (en)2011-06-272012-12-27Swaminathan SivasubramanianSystem And Method For Implementing A Scalable Data Storage Service
US8751463B1 (en)2011-06-302014-06-10Emc CorporationCapacity forecasting for a deduplicating storage system
US9454476B2 (en)2011-08-112016-09-27Pure Storage, Inc.Logical sector mapping in a flash storage array
US8527544B1 (en)2011-08-112013-09-03Pure Storage Inc.Garbage collection in a storage system
US20130042052A1 (en)2011-08-112013-02-14John ColgroveLogical sector mapping in a flash storage array
US9454477B2 (en)2011-08-112016-09-27Pure Storage, Inc.Logical sector mapping in a flash storage array
US8806160B2 (en)2011-08-162014-08-12Pure Storage, Inc.Mapping in a storage system
US20130047029A1 (en)2011-08-172013-02-21Fujitsu LimitedStorage system, storage control apparatus, and storage control method
US8700875B1 (en)2011-09-202014-04-15Netapp, Inc.Cluster view for storage devices
CN104025010B (en)2011-09-302016-11-16净睿存储股份有限公司Variable length code in storage system
CN104025010A (en)2011-09-302014-09-03净睿存储股份有限公司Variable length encoding in a storage system
US20140229452A1 (en)2011-10-062014-08-14Hitachi, Ltd.Stored data deduplication method, stored data deduplication apparatus, and deduplication program
US20130091102A1 (en)2011-10-112013-04-11Netapp, Inc.Deduplication aware scheduling of requests to access data blocks
US20130205110A1 (en)2012-02-062013-08-08Doron KettnerStorage Device and Method for Selective Data Compression
US20130275656A1 (en)2012-04-172013-10-17Fusion-Io, Inc.Apparatus, system, and method for key-value pool identifier encoding
US20130275391A1 (en)2012-04-172013-10-17Fusion-Io, Inc.Data Expiry in a Non-Volatile Device
US20130283058A1 (en)2012-04-232013-10-24International Business Machines CorporationPreserving redundancy in data deduplication systems by encryption
US20130290648A1 (en)2012-04-272013-10-31Netapp, Inc.Efficient data object storage and retrieval
US20140229131A1 (en)2012-05-042014-08-14Lsi CorporationRetention-drift-history-based non-volatile memory read threshold optimization
US8874850B1 (en)2012-05-102014-10-28Netapp, Inc.Hierarchically tagged cache
US20130318314A1 (en)2012-05-252013-11-28Red Hat, Inc.Managing copies of data on multiple nodes using a data controller node to avoid transaction deadlock
US20130339303A1 (en)2012-06-182013-12-19Actifio, Inc.System and method for incrementally backing up out-of-band data
US8959305B1 (en)2012-06-292015-02-17Emc CorporationSpace reclamation with virtually provisioned devices
US20140052946A1 (en)2012-08-172014-02-20Jeffrey S. KimmelTechniques for opportunistic data storage
US20140068791A1 (en)2012-08-312014-03-06Cleversafe, Inc.Securely storing data in a dispersed storage network
US20140089730A1 (en)2012-09-262014-03-27Fujitsu LimitedStorage control device and method for controlling storages
US20140101361A1 (en)2012-10-082014-04-10International Business Machines CorporationSystem supporting multiple partitions with differing translation formats
US20140143517A1 (en)2012-11-192014-05-22Hitachi, Ltd.Storage system
US20140172929A1 (en)2012-12-142014-06-19Jeffrey C. SedayaoAdaptive data striping and replication across multiple storage clouds for high availability and performance
US20140189211A1 (en)*2012-12-312014-07-03Sandisk Enterprise Ip LlcRemapping Blocks in a Storage Device
US9436720B2 (en)2013-01-102016-09-06Pure Storage, Inc.Safety for volume operations
US20140201150A1 (en)2013-01-112014-07-17Commvault Systems, Inc.Single snapshot for multiple agents
US20140215129A1 (en)2013-01-282014-07-31Radian Memory Systems, LLCCooperative flash memory control
US8682870B1 (en)*2013-03-012014-03-25Storagecraft Technology CorporationDefragmentation during multiphase deduplication
US20140281308A1 (en)2013-03-152014-09-18Bracket Computing, Inc.Storage unit selection for virtualized storage units
US20140325115A1 (en)2013-04-252014-10-30Fusion-Io, Inc.Conditional Iteration for a Non-Volatile Device
EP3066610A1 (en)2013-11-062016-09-14Pure Storage, Inc.Data protection in a storage system using external secrets
US9516016B2 (en)2013-11-112016-12-06Pure Storage, Inc.Storage array password management
US8751454B1 (en)*2014-01-282014-06-10Storagecraft Technology CorporationVirtual defragmentation in a deduplication vault
US20150234709A1 (en)2014-02-202015-08-20Fujitsu LimitedStorage controller, storage system, and control method
US20150244775A1 (en)2014-02-272015-08-27Commvault Systems, Inc.Work flow management for an information management system
EP3120235A1 (en)2014-03-202017-01-25Pure Storage, Inc.Remote replication using mediums
US20150278534A1 (en)2014-03-262015-10-01Amazon Technologies, Inc.Electronic communication with secure screen sharing of sensitive information
US9513820B1 (en)2014-04-072016-12-06Pure Storage, Inc.Dynamically controlling temporary compromise on data redundancy
US20160019114A1 (en)2014-07-152016-01-21Nimble Storage, Inc.Methods and systems for storing data in a redundant manner on a plurality of storage units of a storage system
US20160098191A1 (en)2014-10-072016-04-07Pure Storage, Inc.Optimizing replication by distinguishing user and system write activity
US20160098199A1 (en)2014-10-072016-04-07Pure Storage, Inc.Utilizing unmapped and unknown states in a replicated storage system
US9552248B2 (en)2014-12-112017-01-24Pure Storage, Inc.Cloud alert to replica

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Microsoft Corporation, "Fundamentals of Garbage Collection", Retrieved Aug. 30, 2013 via the WayBack Machine, 11 pages.
Microsoft Corporation, "GCSettings.IsServerGC Property", Retrieved Oct. 27, 2013 via the WayBack Machine, 3 pages.

Cited By (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US11847333B2 (en)*2019-07-312023-12-19EMC IP Holding Company, LLCSystem and method for sub-block deduplication with search for identical sectors inside a candidate block

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